HPCC (High-Performance Computing Cluster) is an open-source data-intensive computing system platform designed for big data processing and analytics. It provides a comprehensive suite of tools for data ingestion, processing, and querying, enabling efficient handling of large-scale datasets. HPCC includes two main components: Thor for batch data processing and Roxie for real-time query processing.
About Hpcc
HPCC was created in 2000 by LexisNexis Risk Solutions to handle large-scale data processing and analytics needs. It was developed to address the challenges of managing and analyzing vast amounts of data efficiently. The platform provided a robust solution for data-intensive tasks, combining batch processing and real-time querying capabilities.
HPCC's strengths include its scalability, integrated ETL and data analytics capabilities, and open-source nature. Weaknesses involve a steeper learning curve and less community support compared to more popular platforms. Competitors include Apache Hadoop, Apache Spark, and Google BigQuery.
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How to hire a Hpcc expert
An HPCC expert must have strong skills in ECL (Enterprise Control Language) for data manipulation and querying, proficiency in data modeling and ETL processes, experience with distributed computing systems, and familiarity with Linux-based environments. Knowledge of Thor and Roxie clusters, as well as debugging and optimization techniques for large-scale data processing, is also essential.
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